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Vision in basketball, 98 studies: experts fixate the front of the rim; visual training improves the task, with no gain measured in games.
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In brief. In basketball, gaze is measured mostly at the shot: a stable fixation on the front of the rim goes with success, and it degrades under anxiety or intense effort. Visual training improves the trained task; no analyzed trial measures a gain in an official game. 98 studies analyzed. Updated November 3, 2026.
Hello to you, the movement professional,
A video of a free throw stops before the ball leaves the shooter's hands. Who already knows whether it will go in? In the experiment by Aglioti's team, professional basketball players predicted it earlier and more accurately than coaches and sports journalists, who had nonetheless watched as much basketball, and than novices (Aglioti et al., 2008). The gap appears before the ball is released: the players read the kinematics of the body. And only the players show a motor activation specific to missed shots, as if their motor system were replaying the movement they are watching.
Reading a shot in basketball therefore goes through a body that knows how to shoot. For you, who prepare players, three questions follow: where does the eye go at the free throw, what does the reading of the game rest on, and what does visual training really change. The most serious objection comes from a 2026 systematic review on perceptual-cognitive training of young basketball players: 14 reports retained out of 973 references, 11 cohorts, and not enough to establish a general gain in decision-making, a lasting learning effect, or a transfer to competition (Li et al., 2026a).
The quiet eye is the last fixation on the target before the movement is triggered. At the free throw, it is the eye resting on the rim while the arms get ready. It was described in basketball as early as the 1990s (Vickers, 1996), and a review already counted more than 70 articles on the subject over fifteen years (Vine et al., 2014). The mechanism, the other sports and the underlying debates are in our article on the quiet eye and precision; here, we stay with basketball.
The most useful framework for reading what follows comes from Klostermann's team: a stable foveal fixation serves precision, while peripheral vision serves complex situations in which several things must be monitored at once (Klostermann et al., 2019a). The shot calls for the first, reading the game for the second. Between two fixations, the eye jumps by saccadic eye movements, and several studies place the gap between experts and amateurs there. In research on vision and sports performance, basketball is among the four most represented sports, along with baseball, football and cricket (Lochhead et al., 2024).
Among 33 men who went through an optometric assessment, semi-professional basketball players have, compared with sedentary people, a closer near point of convergence, faster fusional vergence and better eye-hand coordination (Vera et al., 2020b). The picture changes as soon as sports are compared with each other. Among 52 participants, only visual acuity differs between groups, and basketball players have neither better peripheral vision nor better stereoacuity (Nascimento et al., 2025). Among 55 Spanish professionals, 14 of them basketball players, dynamic acuity is the same in football, basketball and water polo (Quevedo-Junyent and Argilés, 2024).
The clearest differences concern eye control. Elite university basketball players make 4.8% errors on the antisaccade task, against 13.7% for bench players and 13.9% for non-athletes (Fujiwara et al., 2009). In club basketball players, the earliest peak of saccadic reaction times falls around 170 ms, against 190 ms in non-athletes (Kunita and Fujiwara, 2022). Among 60 basketball and volleyball players aged 16 to 18, the number and speed of saccades explain part of the agility of the female basketball players (Popowczak and Zwierko, 2025). These measurements describe a profile; they do not say that training the antisaccade makes a better player.
Study | Population (n) | Situation | What the gaze shows |
|---|---|---|---|
Not specified (PubMed record without abstract) | Free throw | Foundational description of the quiet eye in basketball; figures not reproduced here for lack of a verifiable abstract | |
10 players | Free throw, low or high anxiety | Under anxiety, shorter quiet eye, lower success, more numerous and briefer fixations | |
10 players | Free throw after increasing effort | Only severe effort (86 ± 5% of maximal heart rate) matters: accuracy down 19%, quiet eye down 45%; the variation in quiet eye predicts 33% of the variation in accuracy | |
13 experienced players | Free throw and jump shot under exertion | Exertion multiplies the fixations at the free throw; success goes with fewer, longer fixations | |
Zhao 2023 and Zhao 2024b, same group of authors | 60 players across 3 levels; 20 elite female players | Free throw, by level then at three intensities | Experts fixate less often, for longer, on the front and top of the rim, with smaller saccades; the rim takes the largest share of fixation time, and both the number and the duration of fixations change with intensity |
Sample size not given in the abstract | Shots at and around the line | At the line, success and quiet eye exceed what neighboring distances predict ("especial" skill) | |
51 players, two ages, two levels | Free throw and darts | Accuracy separates levels and ages; the quiet eye does not separate them | |
Skilled and less skilled players | Free throw then darts | The skilled have a longer quiet eye in basketball; accuracy carries over to darts, the quiet eye does not follow | |
26 players, 100 throws each | Free throw | The trial-to-trial variability of the quiet eye explains 56% of success, better than its mean duration | |
46 youths, U14 to U18 | 30 free throws | Accuracy linked to age (r = 0.386) and experience (r = 0.367); the quiet eye alone does not predict success | |
31 international U18 male and female players | 10 free throws | Fixation parameters differ between made and missed shots | |
25 student players | Free throw | Saccade measures separate made from missed shots better than fixations do | |
Amateurs and near-experts | Free throw | More stable fixation and more numerous microsaccades in near-experts | |
23 players, mean age 19 | 30 throws per visual condition | Vision in one eye only: about 8% less success; blur in one eye: about 9% (d = 0.838 and 0.771) | |
10 expert shooters | Jump shot, vision occluded | Seeing only the last 350 milliseconds or so is as good as seeing everything | |
10 U16 against 10 professionals | Jump shot, two distances | Last fixation of 454 to 458 ms in the pros, 363 to 372 ms in the youths; age and level confounded | |
Intermediate and highly skilled players | Jump shot, defended or not | A long quiet eye helps only when the shot is defended; later offset and earlier onset go with success | |
13 youths, 48 shots each | Shot from 5 m, defender or not | Mean accuracy unchanged; 6 players do worse, 6 better, and those who decline shorten their last fixation | |
12 near-experts, 12 amateurs | Three-point shot after a pass | Longer fixations and smaller saccades in near-experts | |
Elite players | Three-point shot, defended or not | Quiet eye fixations make up 87% of fixations (43.6% at the catch, 34.1% at arm flexion); 2.20 fixations per trial, 1.25 during the shot | |
14 players, 40 shots | Free throw against three-point shot | Nearly 800 ms less preparation at three points, with more saccades, larger ones | |
12 elite, 9 semi-elite | Three-point shot under time and score pressure | Longer online quiet eye in the elite, especially under the highest pressure | |
Zhao 2024c and Zhang 2026b, same group of authors | 20 highly skilled female players; 22 elite female players | Three-point shot, then two-point shot, at three intensities | Moderate intensity is the most economical in fixations, high intensity multiplies them; fixation time on the front of the rim (three-point) or on the rim (two-point, high intensity) linked to success |
Zhang 2026a, same group of authors | 60 university players, 3 levels | Three-point shot | Fixation on the rim linked to success (r = 0.646 to 0.842), fixations on the backboard and net linked to failure (r = −0.457 to −0.816); according to the authors, probably a reflection of level rather than a cause |
Read as a whole, the table shows an expert who fixates less, for longer, and rather on the front of the rim. Pressure and severe effort degrade this fixation along with success, which fits what we know about the movement under fatigue. And the quiet eye is not a magic number: it separates neither ages nor levels in Fischer, it does not predict success on its own in the youths in Han, and it is its regularity, more than its duration, that counts in Mizusaki. The jump shot adds a nuance that the free throw hides: under defense, the eye keeps guiding the shot until release.
In one-on-one play, during the catch and the dribble, novices follow the ball with their eyes while expert defenders mostly fixate the attacker's head; at the moment of the shot, both groups look at the ball. The coaches surveyed, for their part, teach looking at the torso (Meyer et al., 2022a). Against shot fakes, successful anticipations rely on the hips and legs, failed ones on the ball and the head (Meyer et al., 2022b). In another study, experts also look at the body rather than the ball (Li et al., 2023), and experienced players beat chance only at normal video speed, while looking at the lower body (Uchida et al., 2014). Skilled defenders are faster in one-on-one, with no specialized anticipation demonstrated (Fujii et al., 2014).
The head fake fools everyone. The effect is the same size in basketball players as in others, but a fake just before erases it in basketball players (Weigelt et al., 2017). It arises in both perception and the choice of response (Polzien et al., 2020). A review on fakes in combat and interactive sports, basketball included, concludes that none of its three underlying questions is settled (Güldenpenning et al., 2017).
On the court, in three-on-three with a screen and a roll, peripheral vision seems to serve deciding and central vision acting (van Maarseveen et al., 2018a). In the laboratory, the expert advantage withstands blur, and central blur hinders more than peripheral blur (Ryu et al., 2015). Experts also anticipate what follows in a play system from schematic images, which non-experts do not (Gorman et al., 2011). This split between a vision for perceiving and a vision for acting recalls the ventral and dorsal pathways, as a reading framework and not as proof.
Visual search changes with complexity. Experts make more and longer fixations on the informative areas (Jin et al., 2023), or fewer and shorter fixations in another task (Gou et al., 2026b). Among 25 experts and 25 novices, nothing separates them in a simple task; in a complex task, 1,623 ms against 2,077 ms and 5.47 fixations against 9.63 (Yu et al., 2026). Under time pressure, experts stay stable while non-athletes drop off (Guo and Wang, 2025). In skilled players, the accuracy advantage is limited to structured game configurations (Xu et al., 2026). These gaps shrink when studies are pooled: across 26 studies comparing experts, intermediates and novices in football, basketball and volleyball, the fixation-duration gap by level rests on limited evidence only, and the gap in response accuracy is no longer significant after correction for publication bias (Ma et al., 2026).
On the brain side, experts have a more stable fixation and activate the inferior parietal lobule and the inferior frontal gyrus more in functional MRI (Wu et al., 2013), which points back to the posterior parietal cortex. According to a narrative review, lobules VI and VII of the cerebellar vermis are larger in elite basketball players (Park et al., 2018). Mental fatigue slows mainly novices (Li et al., 2026b), and anodal transcranial electrical stimulation erases its effect on decision-making in 20 players (Fortes et al., 2022). Thirteen internationals beat fifteen controls in memory, selective attention and prediction, and do worse in dynamic balance (Kioumourtzoglou et al., 1998).
Among 12 NBA players, the multiple object tracking score is linked to assists (r = 0.78), steals (r = 0.77) and the assist-to-turnover ratio (r = 0.78), more weakly and without reaching significance to turnovers (r = 0.49), and reaction time on lights is linked to nothing (Mangine et al., 2014). Elite players beat intermediates and non-athletes only at three and four targets (Qiu et al., 2018), with lower activation of the left frontal eye field and the anterior intraparietal sulcus (Qiu et al., 2019). The advantage appears only at high speeds (Jin et al., 2020). Among 48 female players, the experts beat the novices: 64.6% against 55.7% in tracking and 91.6% against 84.5% in decision-making (Gou and Li, 2023); better tracking goes with shorter and fewer fixations during decision-making (Gou and Li, 2025). Postural instability makes tracking drop, and the advantage of team-sport players over sedentary people (d = 0.96 and 0.94 on the two most stable settings) disappears on the most unstable one (Zwierko et al., 2022); mental fatigue, for its part, changes nothing in tracking (Faro et al., 2023). The paradigm itself is detailed in our article on multiple object tracking.
Study | Population (n) | Published protocol | Measure | Result | Transfer to the court | Level of evidence |
|---|---|---|---|---|---|---|
16 novices | Six trials of a model observed, instruction on the effects of the movement or on its dynamics | Free throw, gaze | Only the "effects" group improves; it looks more outside the model's body | Not measured, one session | Low | |
16 novices, randomized | Quiet eye training against technical instruction, 520 free throws over 8 days | Free throw under pressure | The quiet eye group keeps its gaze and scores better under pressure | Pressure test | Moderate to low | |
240 students, randomized | Quiet eye training against technical training | Shot, with a transfer test under defense | More accurate quiet eye overall; novices improve then relapse at transfer; intermediates stay better under defense | Test under defense | Moderate | |
20 participants, randomized | 3 days, 100 shots per day, constant or variable practice | Gaze, success | Total duration and number of fixations up (effect size 0.504 and 0.246); no difference between groups | Not measured | Low | |
40 participants, mean age 22 | External focus instruction or expert gaze instruction | Accuracy, quiet eye | Both instructions lengthen the quiet eye and improve accuracy (p < 0.05) | Not measured | Low | |
Novices | Optimal trajectory displayed in augmented reality | Success, quiet eye | Success unchanged during training, up once the display is removed; quiet eye lengthened during training; control unchanged | Not measured | Low | |
40 players (20 and 20), randomized | Psychological free throw routine against usual training | Fixations, pupil, success | All measures improve and differ from the control (p < 0.05) | Not measured | Low to moderate | |
48 amateurs (24 and 24) | 9 weeks aiming at the front edge of the rim, as identified in experts | Shooting percentage | Nothing at 5 weeks (28.19 against 26.53%); 36.39 against 30.14% at 9 weeks (p < 0.05) | Not measured | Low to moderate | |
Expert wheelchair players | Shots with a screen hiding the basket until the last moment | Shooting percentage | Percentage up with the screen; figures absent from the abstract | Not measured | Low | |
Recreational players | 3 days of gaze-contingent video: blurred periphery, blurred center or full vision, against control | Decision on video, retention at 2 weeks | All three groups beat the control; only the blurred periphery still improves at retention; visual search unchanged | Not measured | Moderate to low | |
Elite youths | 10 or 12 sessions of 360-degree immersive video over 3 weeks | Immersive test, small-sided games | Boys: +4.0 and +5.8 not significant; girls: both groups improve on the immersive test (+7.4 trained, +9.7 control), only the control improves in small-sided games (+6.9) | Measured, null | Moderate | |
University players | 4 sessions on screen or in virtual reality, against NCAA video | Decision on the court | Screen and virtual reality beat the control on trained systems; only virtual reality on untrained ones | Measured on the court, positive | Moderate | |
14 experienced players | 6 weeks of virtual reality against a two-dimensional program | Gaze stability and dribbling | Progress described, transfer reported as better; figures absent from the abstract | Reported, not quantified | Low | |
58 students, 3 groups | 8 sessions of multiple object tracking, with or without feedback | Cognitive tasks | Feedback better on the Go/No-go and the 3-back; no gap on the Stroop or the 2-back | Not measured | Low | |
56 female novices | 9 weeks of multiple object tracking | Decision, gaze, evoked potentials | More accurate decisions, increased fixation on key areas; figures absent from the abstract | Not measured | Low | |
24 young semi-professionals, randomized | Cognitive tasks during dribbling, visual and auditory stimuli | Basketball tests, cognitive task | +17% on specific tests; accuracy 88 against 60%; earlier prefrontal potentials | Field tests | Moderate to low | |
20 players (10 and 10) aged 14 to 15 | Reactive agility with the FITLIGHT system | Agility, visual reaction, dribbling | Agility +11%, reaction +23 to 31%, dribbling +19%; gaps of 6 to 14.1% over the control | Field tests | Low | |
28 female players (14 and 14) | 10 weeks, 4 sessions per week of reaction on lights | Reactive T-test, with dribbling | Between-group gaps of d = 0.51 to 0.88; the control improves too (d = 0.71 to 0.97) | Field tests | Low | |
412 players, including 146 basketball players | 6 weeks, 2 times 30 min, 15 peripheral vision exercises with Fitlight | Manual reaction time | All groups improve; no control group | Not measured | Low | |
U14 (18) and U16 (17) | 18 weeks of basketball exercises with Fitlight, against control | Lower-limb reaction, orientation | p < 0.05, d > 1 for the experimental groups | Specific tests | Low | |
34 elite players (17 and 17) | 6 weeks, 4 to 5 sessions of 30 min, reaction tasks on an unstable platform | Balance, agility, reaction | Balance and agility improve; simple and choice reaction times unchanged | Field tests | Moderate to low | |
40 players aged 14 to 18, randomized, registered trial | Neuromuscular warm-up under stroboscopic glasses | Cognition, jump, agility, balance | Both groups improve; only the reaction time (p = 0.004) and decision time (p < 0.001) of reactive agility differ | Field tests, mixed result | Moderate | |
30 elite club female players, aged 18 to 24 | 4 weeks, 6 sessions per week of oculomotor exercises | Dynamic acuity, limit of stability | Stability index 28.66 to 51.60; dynamic acuity 29.73 to 56.20 | Not measured | Low | |
24 team-sport female players, 12 of them trained | 8 weeks, 3 sessions of 20 min per week of oculomotor exercises | Six measures of binocular vision | 3 out of 6 improve (near phoria, fusional convergence), maintained at 4 weeks | Not measured | Low to moderate | |
138 athletes (basketball, football, boxing) randomized, 128 analyzed | 6 weeks of oculomotor exercises, registered trial | Stork test, sway area | Adjusted gaps with the control: stork +22.82 s (95% CI 19.54 to 26.10); ellipse −4.20 cm² | Not measured | Moderate, unblinded | |
42 boys aged 14 to 17 | One session of 3 stations: pursuit, accommodation, gaze stabilization, basketball movements | Pass, shot, jump | Pass 28.38 to 36.19, shot 16.00 to 22.81 at 30 min | Field tests, acute effect | Low, no control |
Most of these trials improve what they train. Gaze instructions at the free throw hold under pressure in Vine and under defense in Vickers, but novices relapse as soon as the situation changes. Aiming at the front of the rim takes nine weeks to show in Gou, which gives an idea of the learning time for a visual cue. Practice variability changes nothing in the gaze in Czyż. And external attentional focus goes through the eye, in Al-Abood as in Asadi.
A 2026 stroboscopic trial reports effect sizes of 4.009 and 3.943 with 14 players per group (Li et al., 2026c). Effect sizes of this order are very unusual in training trials; it is cited here as an example of a result awaiting replication, not as proof. The randomized, registered trial by Dingirdan Gultekinler, on a warm-up for young basketball players, finds a much narrower gain. A recent narrative review also stresses the scarcity of basketball-specific stroboscopic studies: the parameters it proposes come from other sports and remain to be validated in this one (Kang and Cao, 2026).
On the trained task itself, the gain is almost always there: reaction on lights, object tracking, fixations at the free throw. One step further, on structured basketball tests, it still exists: shots under defense in Vickers, decision-making on the court in Pagé, dribbling and specific tests in Lucia and Hassan. Far transfer, the official game, is measured by no controlled trial in this list.
Null or mixed results count just as much. Panchuk 2018: nothing significant in small-sided games, and in the girls only the control improves there. Zemková 2010: reaction times do not move. Czyż 2019: no gap between practices. Dingirdan Gultekinler 2026: most measures improve just as much without the strobe. Hassan 2025: the control improves too. Rienhoff 2013: accuracy carries over from one task to the other, the quiet eye does not. And in Mangine, reaction on lights is linked to no game statistic while object tracking is linked to assists, which should give pause before building visual work on reaction alone.
The reviews point the same way. Across 19 eye-tracking studies in basketball, guided gaze helps novices but adds little for skilled players (Alemanno et al., 2025). Across 22 studies and 1,113 team-sport athletes, basketball included, specific performance is linked to object tracking (r = 0.54), attention (r = 0.39), visual search (r = 0.36) and reaction times (r = −0.31 and −0.37), not to depth perception (r = 0.09) (Yang et al., 2026). Across 12 studies and 493 participants from several sports, virtual reality looks promising, and its transfer to the field remains an open question (Richlan et al., 2023). And the review by Li, devoted to young players, is decisive: cognitive-motor interventions give the most consistent effects, the evidence on gaze control rests on a small non-randomized cohort, and anticipation gives mixed results. The map of the evidence in sports vision places these figures among the other sports.
Study A | Relation | Study B |
|---|---|---|
Mizusaki 2025, Han 2026, Fischer 2015 | qualify | Vickers 1996 and the "longer is better" reading of the quiet eye |
Klostermann 2018 | refines | Oudejans 2002: the eye guides the jump shot until release, especially under defense |
van Maarseveen 2018b | converges with | Klostermann 2018: the defender shortens the last fixation of the shooters who decline |
Wilson 2009, Wilson 2018, Zwierko 2018 | converge | anxiety and severe effort degrade fixation and success |
Zhao 2023, Zhao 2024c, Zhang 2026a | converge | fixation on the front of the rim or on the rim associated with level or success (same group of authors) |
Gou 2022 | puts to the test | Zhao 2023: aiming at the front of the rim can be learned, in nine weeks |
Meyer 2022a | contradicts | the coach instruction "look at the torso" |
Mangine 2014 | contrasts with | Hassan 2022, Badau 2025: in NBA players, reaction on lights is linked to no game statistic |
Yang 2026 (r = 0.54 for tracking) | contrasts with | Xiao 2024, Gou 2026a: transfer to play not measured |
Li 2026c | diverges from | Dingirdan Gultekinler 2026: very high effect sizes against a narrow gain, same tool family |
Ma 2026 | tempers | Zhao 2023, Jin 2023, Yu 2026: once the studies are pooled, the gaps in gaze and accuracy between levels are less clear |
Lalaj 2026 | extends | Minoonejad 2019: oculomotor exercises and balance measures, very large effects in both cases |
The description of the shot cross-checks well: the expert fixates less and for longer, and this gaze deteriorates under pressure. The training trials, for their part, answer each other far less. Six studies on gaze at the shot (Zhao 2023, 2024a, 2024b and 2024c, Zhang 2026a and 2026b) come from the same group of authors, which limits the independence of the replications. On the decision side, the line Ryu, van Maarseveen, Klostermann is consistent: periphery to read, fovea to act. To compare with another sport of passes and shots, read our article on vision in handball.
Established: at the shot, the expert concentrates their gaze on the rim with fewer fixations, and anxiety as well as severe effort degrade this gaze along with success; the expert player reads the opponent's body rather than the ball. Debated: that the duration of the quiet eye is the right measure, when its regularity seems to matter more; that virtual reality carries over to the court, shown by a single university trial. Extrapolation: that visual training outside basketball, on lights, strobes or object tracking, wins points or games.
No study allows us to claim that a player who lengthens their quiet eye will make more free throws in a game. To put it to the test, you would need a randomized trial in skilled players, with gaze training at the free throw on one side, the same volume of throws without gaze instruction on the other, and the percentage in official games over a season as the criterion. If the gap is zero, the idea that the shooter's gaze can be usefully trained no longer holds. Nobody has run it yet. The same logic applies to representative design: a test without a defender says little about the defended shot.
Vera showed it at the line: losing vision in one eye, or blurring it, costs about 8 to 9% of success. If your athlete reports double vision, persistent blur, headaches during exertion or dizziness, visual training waits. They see an ophthalmologist first, then an orthoptist in France, or an optometrist in Switzerland or the United States. LabO RNP is neither medical nor paramedical, and comes in addition to a care pathway, never in its place. LabO RNP works with optometrists; the curriculum was built with them.
The eyes are an entry point. What LabO RNP teaches is the whole sensorimotor loop: how what the athlete perceives organizes what they do. Basketball illustrates it twice. The shooter keeps the eye on the rim while the body produces the movement, and this fixation comes undone when effort or pressure rise. The defender reads the attacker's hips and their body responds before the ball does. If you are wondering what place to give the eyes before a team's training, our article on oculomotor exercises in the warm-up takes stock.
Experts fixate the front or the top of the rim, with fewer and longer fixations than novices. Among 48 amateurs, aiming at the front of the rim ended up improving the percentage, but it took nine weeks (36.39 against 30.14%). The regularity of this last fixation from one shot to the next seems to matter more than its duration.
Trials show that quiet eye training protects success under pressure or under defense, in the laboratory or in practice. None has measured the percentage in an official game. A review of 19 eye-tracking studies in basketball notes that guided gaze helps novices but adds little for skilled players. The promise therefore remains to be demonstrated.
Among ten players, only severe effort, around 86% of maximal heart rate, lowered accuracy by 19% and the quiet eye by 45%. Anxiety also shortens the quiet eye. Fatigue and pressure damage the gaze along with the movement, without our yet knowing which drags the other along.
They improve the reaction and agility tests they train, but some trials have no control group and, in others, the control improves too. In NBA players, reaction time on lights is linked to no game statistic. A randomized, registered trial, with stroboscopic glasses during the warm-up of young basketball players, finds a gain on only two components of reactive agility.
One university trial shows a decision-making gain measured on the court, including on untrained systems. Another, with immersive video in elite youths, finds nothing significant in small-sided games. A review of 12 studies, all sports combined, judges the lead promising and leaves open the question of transfer to the field.
Yes, as soon as there is double vision, persistent blur, headaches during exertion or dizziness: ophthalmologist first, then orthoptist in France, or optometrist in Switzerland or the United States. LabO RNP is neither medical nor paramedical, and comes in addition to a care pathway, never in its place.
A shooter's gaze can be read on an eye tracker in a few throws; what visual training brings them could only be read in games, and no trial has yet gone that far.
👉 I want to learn how to connect what my player sees to what their body produces.
By the LabO RNP team
Method. Inventory of the basketball studies of the vision silo built on November 3, 2026 from PubMed and the LabO RNP vault notes (14 lines), completed by a targeted PubMed search (103 lines), for 117 references examined. 98 studies retained here for their direct link to gaze at the shot, decision-making, visual functions and visual training of the basketball player. Set aside: an opinion article without data (Getz, 1978) and a study without an available abstract (Morris, 1977). The other references, redundant or devoted to officiating (covered in a dedicated satellite), are not reproduced. One stroboscopic trial (Li et al., 2026c) is cited as an example of unusual effect sizes awaiting replication, never as proof. Each PMID and each DOI was verified on the PubMed record on November 3, 2026.
Aglioti SM, Cesari P, Romani M, Urgesi C (2008). Action anticipation and motor resonance in elite basketball players. Nat Neurosci, 11(9), 1109-16. PMID 19160510. doi:10.1038/nn.2182
Al-Abood SA, Bennett SJ, Hernandez FM, Ashford D, Davids K (2002). Effect of verbal instructions and image size on visual search strategies in basketball free throw shooting. J Sports Sci, 20(3), 271-8. PMID 11999481. doi:10.1080/026404102317284817
Alemanno M, Di Pompeo I, Marcaccio M, Canini D, Curcio G, Migliore S (2025). From Gaze to Game: A Systematic Review of Eye-Tracking Applications in Basketball. Brain Sci, 15(4). PMID 40309899. doi:10.3390/brainsci15040421
Asadi A, Daneshfar A, Maleki B, Aiken CA (2023). Effects of attentional focus and gaze instruction during observational learning of a basketball free-throw. Hum Mov Sci, 87, 103038. PMID 36435171. doi:10.1016/j.humov.2022.103038
Asadi A, Daneshfar A, Saeedpour-Parizi MR, Aiken CA, Smiley A (2025). Detecting optimal gaze behavior of successful basketball free throwing via machine learning system. Hum Mov Sci, 102, 103381. PMID 40516144. doi:10.1016/j.humov.2025.103381
Badau D, Stoica AM, Litoi MF, Badau A, Duta D, Hantau CG, Sabau AM, Oancea BM, Ciocan CV, Fleancu JL, Gozu B (2023). The Impact of Peripheral Vision on Manual Reaction Time Using Fitlight Technology for Handball, Basketball and Volleyball Players. Bioengineering (Basel), 10(6). PMID 37370628. doi:10.3390/bioengineering10060697
Badau D, Steff N, Badau A, Stoica M (2025). Enhancing Lower-Limb Simple and Choice Reaction Time and Spatial Orientation in Junior Basketball Players by Implementing Fitlight Technology in Sports Training. Percept Mot Skills, 132(6), 1392-1417. PMID 40446814. doi:10.1177/00315125251347793
Czyż SH, Zvonař M, Borysiuk Z, Nykodým J, Oleśniewicz P (2019). Gaze Behavior in Basketball Free Throws Developed in Constant and Variable Practice. Int J Environ Res Public Health, 16(20). PMID 31614871. doi:10.3390/ijerph16203875
Dingirdan Gultekinler B, Uzlasir S, Tunay VB (2026). Integrating stroboscopic visual perturbation into a neuromuscular warm-up in adolescent male basketball players: effects on cognitive function, physical performance, and postural stability-a randomized controlled trial. BMC Sports Sci Med Rehabil, 18(1). PMID 42135790. doi:10.1186/s13102-026-01748-z
Faro H, Cavalcante Silva D, Barbosa BT, Costa YPD, Freitas-Junior CG, de Lima-Junior D, Faubert J, Fortes LS (2023). Young Basketball Players' Multiple Object Tracking Skills Were Unaffected by Stroop-Induced Mental Fatigue. Percept Mot Skills, 130(5), 2161-2176. PMID 37464728. doi:10.1177/00315125231189091
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